I have two predictors (X1 and X2) with large Beta's and large predictor-independent variable correlations (say it is like rs). In addition, I have another variable (X3; Beta=0.17; rs=0.18) which was not statistically significant in predicting the scores in the dependent variable. Last, I have an X4 with zero Beta and zero rs.
In interpreting this, should I only mention X1 and X2 are practically important predictors, while X3 predicts the scores at a lesser extent. Or should I just skip X3.